I present computational results suggesting that gain adaptation algorithms based in part on connection ist learning methods may improve over least squares and other classical parameter estimation methods for stochastic time varying linear systems The new algorithms are evaluated with respect to classical methods along three dimensions asymptotic error computational complexity and required prior...

This article considers lter banks for sub-band coding of discrete time electrocardiogram (ECG) signals. Two parallel FIR lter banks are optimized and compared with a classic tree-structured lter bank. The new lter banks give a decrease in signal distortion from 0.6 to 0.8 % PRD compared to the reference lter bank.

Unitary and nonunitary lter banks with uniform frequency separation have been extensively studied in the past. Improvement in coding gain has been achieved when allowing for nonunitary lter banks in image coders. Subjective improvements can be achieved by employing nonuniform lter banks. The paper presents a method to construct nonuniform nonunitary perfect reconstruction lter banks. A polyphas...

Open-access data associated with research efforts depend upon managing, packaging, and preserving for sharing collaborators the public. The U.S. Long-Term Ecological Research (LTER) Network, established in 1980, provides an early example of embedded management supporting long-term, place-based contributes to our understanding enactment open access within scientific arenas. Here, we examine coll...

The Laplacian-of-Gaussian (LoG) (lter is an optimal edge detector, but it is computationally ine3cient. In this paper, we propose the bilevel Laplacian-of-Gaussian (BLoG) (lter to approximate the LoG (lter. This approximation is formulated as an optimization problem and solved by the gradient descent algorithm. Only two multiplications per pixel are required in convolving with the BLoG (lter. T...

The Kalman lter [1] has long been regarded as the optimal solution to many tracking and data prediction tasks, [2]. Its use in the analysis of visual motion has been documented frequently. The standard Kalman lter derivation is given here as a tutorial exercise in the practical use of some of the statistical techniques outlied in previous sections. The lter is constructed as a mean squared erro...

For single cell synchronous code division multiple access (CDMA) systems, both the information theoretic capacity and the network capacity have been identi ed. In both cases, it was shown that if the number of users, N , is no more than the processing gain, L, then orthogonal signatures are optimal while if N > L, then signatures which satisfy the Welch bound on the total squared correlation wi...

Many research and monitoring networks in recent decades have provided publicly available data documenting environmental ecological change, but little is known about the status of efforts to synthesize this information across networks. We convened a working group assess ongoing potential cross-network synthesis outline opportunities challenges for future, focusing on US-based network (the US Lon...

Condensation, recently introduced in the computer vision literature, is a particle ltering algorithm which represents a tracked ob-ject's state using an entire probability distribution. Clutter can cause the distribution to split temporarily into multiple peaks, each representing a diierent hypothesis about the object connguration. When measurements become unambiguous again, all but one peak, c...